INVESTIGATION OF THE EFFECTIVENESS OF COMPLEX CADASTRAL WORKS FOR THE PURPOSES OF TERRITORIAL ADMINISTRATION: ON THE EXAMPLE OF THE VILLAGE OF ILYINSKOYE, KATAYSKY MUNICIPAL DISTRICT
Bibliographic record
Abstract
The article explores the role of integrated cadastral works (CCW) as a key element of the system of effective management of municipal territories. On the example of the implementation of the KKW in the cadastral quarter 45:07:030903 p. Ilyinskoye, Katai municipal District, Kurgan region, analyzed the transition from point cadastral registration to systematic territorial planning. Systemic dysfunctions of the initial state of cadastral data were revealed, including registry errors, lack of information about boundaries and real estate objects. The methodology, stages and results of the CCW are considered in detail, which have shown their high effectiveness in eliminating accumulated problems. It is proved that the CCW forms a high-quality information basis for solving the problems of urban planning regulation, taxation, prevention of land disputes and strategic development of rural settlements. The conclusion is made about the expediency of scaling up the practice of CCW as a basis for the transition to smart land management at the municipal level.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".